TriFetch

CEO https://t.co/VtDLH3h3RD | Building the next healthcare foundation models| Prev: CS PhD @UCLA, tech @amazon science, trading at belvedere

TriFetch is an administrative automation platform for independent specialty clinics, targeting the three workflows that absorb the most staff time: inbound and outbound patient calls, referral processing, and prior authorizations. The product is built for independent clinics and multi-specialty groups , and as the launch video dramatizes through a chaotic front-desk montage, the goal is to clear the backlog of holds, missing policy numbers, and stalled MRI approvals so clinical staff can focus on patients rather than payer portals. Under the hood, a multilingual voice agent handles patient calls end to end across inbound inquiries, outbound scheduling, and follow-ups, a referral engine routes and processes referrals, verifies eligibility, and books patients with humans in the loop, and a prior auth module submits and tracks requests . The platform plugs into a clinic's existing systems with no EHR migration or retraining required , which matters for small practices that cannot absorb another rip-and-replace rollout. TriFetch is currently running active pilots across California . The company was founded by Varuni Sarwal and Rosemary He, who met at UCLA while completing their PhDs in Computer Science at the intersection of AI and healthcare . Sarwal's research applied machine learning to tabular EHR data to predict depression and sepsis, while He built computer vision models for Alzheimer's progression in longitudinal 3D medical images, with publications in venues including Nature and ICML . This launch coincides with a $1.9 million pre-seed round led by Nexus Venture Partners with participation from angels from Google, Hippocratic, Mercor, and MIT , positioning the team to expand beyond its initial pilot footprint.

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